CopomuS - ranking compensatory mutations to guide RNA-RNA interaction verification experiments

Abstract: In silico RNA-RNA interaction prediction is widely applied to identify putative interaction partners and to assess interaction details in base pair resolution. To verify specific interactions, in vitro evidence can be obtained via compensatory mutation experiments. Unfortunately, the selection of compensatory mutations is non-trivial and typically based on subjective ad hoc decisions. To support the decision process, we introduce our COmPensatOry MUtation Selector CopomuS. CopomuS evaluates the effects of mutations on RNA-RNA interaction formation using a set of objective criteria, and outputs a reliable ranking of compensatory mutation candidates. For RNA-RNA interaction assessment, the state-of-the-art IntaRNA prediction tool is applied. We investigate characteristics of successfully verified RNA-RNA interactions from the literature, which guided the design of CopomuS. Finally, we evaluate its performance based on experimentally validated compensatory mutations of prokaryotic sRNAs and their target mRNAs. CopomuS predictions highly agree with known results, making it a valuable tool to support the design of verification experiments for RNA-RNA interactions. It is part of the IntaRNA package and available as stand-alone webserver for ad hoc application

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch
Notes
International journal of molecular sciences. - 21, 11 (2020) , 3852, ISSN: 1422-0067

Event
Veröffentlichung
(where)
Freiburg
(who)
Universität
(when)
2020

DOI
10.3390/ijms21113852
URN
urn:nbn:de:bsz:25-freidok-1663261
Rights
Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
25.03.2025, 1:51 PM CET

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Time of origin

  • 2020

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